Course Schedule and Catalog

Long Title: SIGNAL APPROXIMATION USING WAVELETS

Department: Electrical & Computer Eng.

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 2

Description: Fourier analysis is the most fundamental tool in signal processing, and dates back to Gauss. Less than a quarter century ago another fundamental tools emerged, namely Wavelet analysis. It had an almost immediate and profound impact in signal processing. For instance the digital processing of finger prints is currently based on so-called Daubechies wavelets. In this course, we will discuss the fundamentals of wavelets and multi-resolution analysis. We will see namely that the basic mathematical problem of searching for "good" orthonormal bases in various signal spaces led to the discovery of wavelets, which is in turn, closely related to "perfect reconstruction filter banks." Repeatable for Credit.